How marketers can use the power of an AI/ML model to identify and predict customers
Shash Bellamkonda
Additional contact information
Shash Bellamkonda: Adjunct Professor, Georgetown University Main Campus, USA
Applied Marketing Analytics: The Peer-Reviewed Journal, 2022, vol. 8, issue 2, 111-121
Abstract:
Marketers are increasingly faced with a lot of data and need to identify the best prospects. Sales teams are often sceptical of the data provided by marketing and possibly blame the quality of the prospect data provided by marketing. Enter a neutral party, a neural network, an AI/ML model that can analyse the current customers and provide a mechanism for identifying co-relations and similarities in larger prospect data and increase the efficiency of sales teams.
Keywords: marketing analytics; artificial intelligence; machine learning; data; modelling (search for similar items in EconPapers)
JEL-codes: M3 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://hstalks.com/article/7319/download/ (application/pdf)
https://hstalks.com/article/7319/ (text/html)
Requires a paid subscription for full access.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aza:ama000:y:2022:v:8:i:2:p:111-121
Access Statistics for this article
More articles in Applied Marketing Analytics: The Peer-Reviewed Journal from Henry Stewart Publications
Bibliographic data for series maintained by Henry Stewart Talks ().